Material and Methods: In the first step, lncRNA expression analysis was performed by real-time polymerase chain reaction (RT-PCR) using an array panel of 84 inflammation-associated lncRNAs in 48 formalin-fixed paraffin-embedded (FFPE) tissue samples (12 CVH-HCC, 12 peritumoral cirrhotic parenchyma, 12 nontumoral cirrhotic CVH parenchyma, 12 normal liver samples). In the second step, 7 lncRNAs (DLEU2, HOTAIR, LINC00635, LINC00662, RP11-549J18.1, SNHG16 and XIST) were chosen for RT-PCR assay testing in 72 samples (24 CVH-HCC, 24 peritumoral cirrhotic parenchyma, 24 nontumoral cirrhotic CVH parenchyma samples).
Results: Fifty-six inflammation-associated lncRNAs were significantly up-regulated in the peritumoral cirrhotic parenchyma compared to the normal liver. Expression of 71 lncRNAs was significantly higher in peritumoral cirrhotic parenchyma compared to cirrhotic CVH parenchyma. DLEU2 and SNHG16 were up-regulated both in the tumor and peritumoral cirrhotic parenchyma compared to cirrhotic CVH parenchyma. Expression of LINC00662 was significantly higher in CVH-HCC than in cirrhotic CVH parenchyma. Expression of XIST was also increased in both tumor and peritumoral parenchyma samples, albeit without statistical significance. No significant association was found between lncRNA expressions and survival.
Conclusion: Inflammation-associated lncRNAs DLEU2, SNHG16, LINC00662, and XIST are candidate diagnostic biomarkers in CVH-HCC. More evidence is needed to prove their utility as prognostic markers.
Case Selection
The study group was composed of 48 consecutive cirrhotic
patients with CVH (n=24) and/or CVH-HCC (n=24) who
had undergone liver transplantation without prior interventional
treatment. In addition to the resection specimens
of these 48 patients, for the first step, 12 normal liver tissue
biopsy samples were also determined to serve as a control
group. Only CVH or CVH-HCC cases were included in the
second step.
Collection of Clinicopathological Data
Clinicopathological data were retrieved from hospital records.
Hematoxylin-eosin stained slides of the cases were
re-evaluated for the selection of appropriate tissue blocks
for molecular analysis, and to assess the severity and type
of inflammation.
Real-time Polymerase Chain Reaction (RT-PCR) on
Formalin-Fixed Paraffin-Embedded (FFPE) Tissue
Samples
Five sections of 7 microns were taken from the selected
blocks for RT-PCR. First, inflammation-associated lncRNA
expression levels were measured in 48 samples using
a commercially available panel that includes 84 inflammation-
associated lncRNAs (Human Inflammatory Response
and Autoimmunity RT2 lncRNA PCR Array, QIAGEN,
Germany) (Supplement Table I). Samples were grouped
as follows: group 1: 12 CVH-HCC samples, group 2: 12
peritumoral cirrhotic parenchyma samples, group 3: 12
cirrhotic CVH samples, and group 4: 12 normal liver tissue
samples.
Subsequently, 7 lncRNAs (DLEU2, HOTAIR, LINC00635, LINC00662, RP11-549J18. 1, SNHG16, XIST) (RT² QPCR Primer Assay, Qiagen, Germany) showing different expression levels with >2 or <-2-fold change in at least 3 group comparisons were further analyzed by assay testing. An inclusive approach was adopted in this random selection, i.e., statistical significance was not sought, considering the limited number of cases in each group. In the assay step, expression levels of these lncRNAs were assessed in 72 samples (24 CVH-HCCs, 24 peritumoral cirrhotic parenchyma, and 24 cirrhotic CVH parenchyma). Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) was used as the reference gene in assay testing.
RNA extraction was done according to the manufacturer`s recommendations using a kit for FFPE tissues (RNEASY FFPE Kit, Qiagen, Germany). Then, cDNA synthesis and preamplification were performed using the RT² PREAMP cDNA Synthesıs Kit (Qiagen, Germany) prior to preparation for PCR. RT2 SYBR Green Mastermix (Qiagen, Germany) was used for RT-PCR sample preparation.
Assessment of the Findings and Statistical Analysis
Data obtained via RT-PCR analysis (i.e., inflammationassociated
lncRNA expression levels) were analyzed online
using the ΔΔCt method at https://geneglobe.qiagen.com/
tr/analyze. Three tumor samples and three normal liver
samples in the RT-array step were excluded from analysis
due to poor RNA quality. When comparing lncRNA expression
levels, >2 and <-2 fold change was considered as
up-regulation and down-regulation, respectively. The association
between the expressions of DLEU2, HOTAIR,
LINC00635, LINC00662, RP11-549J18. 1, SNHG16, XIST
and clinicopathological parameters were statistically analyzed
using SPSS ver. 24 (IBM, USA). The chi-square test
was used to compare categorical variables and the Kruskal-
Wallis test was used for comparisons between >2 groups.
Dunn`s test was used to further demonstrate the significant
differences between the subgroups. Overall survival (OS)
was defined as the time period between the date of the operation
and death for any reason or last follow-up date.
The time from transplantation to the death of the patient
because of the disease or to the last follow-up date represented
disease-specific survival (DSS). In the CVH-HCC
group, survival analysis was performed using the Kaplan-
Meier method, and the Log-rank test was used to compare
survival between ≥2 groups. The Holm adjustment was
used for pairwise comparisons in survival analysis. Four
patients who died within the post-operative 30 days were
excluded from the survival analysis. p < 0.05 was considered
statistically significant for all analyses.
Only 2 cases with CVH-HCC were female (M:F = 11). The median age was 58 ± 4.85 years (range 48-67 years). The etiologic agent was hepatitis B virus (HBV) in the majority (n=21, 87.5%), while the remaining 3 patients (12.5%) had chronic hepatitis C. Six of the HBV positive cases had hepatitis D virus (HDV) co-infection. Mean tumor diameter was 3.4 ± 1.56 cm, and 11 patients (45.8%) had multifocal HCC. About two thirds (n=16, 66.7%) had grade 2 tumors, and 4, 1, and 3 patients had grade 1, 3, and 4 tumors, respectively. pT stage was determined as pT1 in 13, pT2 in 7, pT3 in 1, and pT4 in 3 patients. Only 1 patient with CVHHCC had lymph node metastasis; however, venous invasion was observed in 6 cases (25%). Portal vein thrombosis was noted in one patient.
Inflammatory cells were often scarce in HCC foci: only 4 had substantial and 3 had moderate intratumoral inflammation while 12 (50%) had mild intratumoral inflammation and the remaining 5 had only scattered few inflammatory cells within the tumor. The majority had neutrophil predominant mixed inflammation (n=15, 62.5%). Inflammatory activity was more prominent in peritumoral cirrhotic parenchyma and all had mixed peritumoral inflammatory infiltration (Table I).
The CVH group consisted of 17 men and 7 women (M: F = 2.42). The median age was 50 ± 12.25 years (range 31- 70 years). Only 2 patients had chronic hepatitis C while the majority (n=22, 91.7%) had chronic hepatitis B. Ten patients (41.7%) had HDV co-infection. More than half (n=13, 54.2%) had severe parenchymal/portal inflammation, 10 (41.7%) had moderate inflammation, and the remaining 1 patient had mild inflammation. In 12 patients, the predominant inflammatory cell type was lymphoplasmacytic but neutrophils were notable or predominant in 12 patients (Table I).
Patients with HCC were significantly older than CVH cases (median 58 ± 4.85 vs. 50 ± 12.25, p=0.011). No other significant difference was found between the two groups.
RT-Array Panel Results
Numerous lncRNAs were differentially expressed in the
four groups, albeit some without statistical significance. Fifty-
six inflammation-associated lncRNAs were significantly
up-regulated in the peritumoral cirrhotic parenchyma compared to normal liver, and while 31 out of the 56 were
expressed significantly lower in the tumor, none were significantly
differentially expressed between the tumor and
the normal liver. In contrast, only SNHG11 and XIST were
significantly differentially expressed in cirrhotic CVH than
in the normal liver and their expressions were decreased.
Moreover, expression of 71 lncRNAs was significantly
higher in peritumoral cirrhotic parenchyma compared to
cirrhotic CVH parenchyma (p<0.05). Among these, lncRNAs
RP11-473I1.10 and RP11-819C21.1 were also significantly
up-regulated in the tumor (compared to CVH) (fold
change 2.45 and 3.47, p=0.03 and 0.04, respectively). There
was fold change difference in the expression of several
inflammation-associated lncRNAs when the tumor group
and normal liver (control group) were compared, but none
reached statistical significance (Supplement Table II).
Table II: Results of the assay testing.
Assay Results
Assay testing revealed that DLEU2 and SNHG16 were upregulated
both in the tumor and peritumoral cirrhotic parenchyma
compared to cirrhotic CVH parenchyma samples
(15.98 and 10.34 fold, p=0.009 and 0.12 for DLEU2,
and 15.7 and 19.4 fold, p= 0.017 and 0.012 for SNHG16,
respectively). Although LINC00662 was expressed in all tumoral
and nontumoral tissues, its expression was higher in
the tumor and peritumoral parenchyma than in cirrhotic
CVH parenchyma, but the difference between peritumoral
and CVH parenchyma did not reach statistical significance
(11.87 and 11.05 fold, p=0.012 and 0.16, respectively). Expression of XIST was also increased in both tumor and
peritumoral parenchyma samples, albeit without statistical
significance (2.10 and 3.60 fold, p=0.41 and 0.36, respectively)
(Figure 1, Table II).
Figure 1: Clustergram showing the assay results.
Association Between lncRNA Expression and
Histopathological Features in CVH-HCC
LINC00662 and SNHG16 were expressed in all tumor samples.
None of the well-differentiated (grade 1) CVH-HCCs
expressed XIST (0/4 vs. 13/20, p=0.02), and tumoral XIST
expression was significantly associated with the presence of
venous invasion (6/6 vs. 7/11; p=0.011).
Of the 9 cases with dysplastic nodules, 7 had peritumoral SNHG16 expression, albeit without statistical significance (p=0.062). Peritumoral XIST expression was significantly associated with the presence of neutrophil predominant inflammation in peritumoral cirrhotic parenchyma, and it was significantly more common in peritumoral cirrhotic parenchyma with neutrophil predominant inflammation than in peritumoral cirrhotic parenchyma with lymphoplasmacytic predominant inflammation (6/6 vs. 2/10, p=0.007, Kruskal-Wallis and Dunn tests).
In addition, despite the limited number of patients with chronic hepatitis C infection, XIST expression was significantly associated with hepatitis C virus (HCV) positivity in the entire study group (4/5, p=0.029).
Association Between Survival and lncRNA Expression
in CVH-HCC
Median follow-up time was 91.28 ± 37.11 months (range
9.40-140.48 months). Eight patients died during follow-up;
however, the cause of death was available to the authors
in only 4: 1 patient died of pneumonia, 1 died of chronic
liver rejection and late-onset sepsis, 1 died of metachronous lung cancer, and the remaining patient was the only
one who died of disease (due to HCC metastasis). Mean OS
was 105.13 ± 10.34 months (range 84.85-125.41 months).
Five-year OS and DSS was 80% (95% CI 64.3%-99.6%) and
93.8% (95% CI 82.6%-100%), respectively.
There were some associations between the studied lncRNAs and survival that did not reach statistical significance. CVH-HCC patients with tumoral DLEU2 expression tended to have a better prognosis compared to the patient without tumoral DLEU2 expression [106.46 ± 10.81 (95% CI 85.26-127.67) vs. 93.83 ± 0 months (one patient only), p=0.49]. CVH-HCC patients with peritumoral LINC00635 expression had shorter mean OS [79.97 ± 11.98 (95% CI 56.49-103.45) vs. 112.73 ± 12.60 months (95% CI 88.03- 137.44), p=0.11]. CVH-HCC cases with peritumoral XIST expression [113.8 ± 13.6 (95% CI 87.02-140.62) vs. 94.51 ± 14.91 months (95% CI 65.28-123.73), p=0.26] had longer mean OS. Cases with tumoral HOTAIR expression showed longer mean OS [108.90 ± 11.18 (95% CI 86.99-130.81) vs. 70.27 ± 13.54 months (95% CI 43.73-96.81), p=0.25]. Lastly, patients with tumoral RP11-549J18.1 expression tended to have a better prognosis [106.75 ± 12.94 (95% CI 81.38- 132.13) vs. 85.39 ± 10.77 months (95% CI 64.28-106.51), p=0.6].
Recurrence occurred in 3 patients (as metastatic bone disease in 2 and recurrent HCC with bone metastasis in the other), with a mean time to recurrence of 29.5 ± 10.92 months (median 29.16). Microvascular invasion was present in 2 of the 3 patients with recurrence. Three patients with recurrence expressed LINC00635 in the peritumoral cirrhotic parenchyma. Moreover, of the 3 cases that did not express HOTAIR in the tumor tissue, 2 had recurrent disease.
Using the inflammation-associated lncRNA RT-array panel, we found that there were many inflammation-associated lncRNAs that were differentially expressed in tumoral, peritumoral, and nontumoral cirrhotic liver parenchyma and normal liver samples. Among them, SNHG11 and XIST were significantly down-regulated in cirrhotic CVH than in the normal liver. Down-regulation of SNHG11 and XIST has previously been associated with ongoing inflammatory processes, supporting our findings[8-10]. Curiously, these two lncRNAs have been shown to have tumor-promoting effects on hepatocellular carcinoma cells[11,12]. The fact that SNHG11 and XIST were significantly up-regulated (21.54 fold and 8.85 fold, respectively) in the peritumoral cirrhotic parenchyma compared to non-tumoral CVH parenchyma indicates an expression level dependent oncogenic (pro-proliferation) effect.
Assay testing has shown that SNHG16, which has been shown to interact with the NF‐κB pathway[13], was significantly up-regulated both in the tumor samples and peritumoral cirrhotic parenchyma compared to cirrhotic CVH parenchyma samples (15.7 and 19.4 fold). SNHG16 was expressed in all tumor samples. Moreover, 7 of the 9 cases with dysplastic nodules showed peritumoral SNHG16 expression. SNHG16 was also significantly upregulated in the peritumoral parenchyma samples, compared to both CVH parenchyma and normal liver tissue in the RT-array test. These findings suggest that SNHG16 up-regulation plays a major role in hepatocarcinogenesis, supporting the recent studies reporting that SNHG16 interaction with microRNAs/cellular pathways contributes to development and proliferation of hepatocellular carcinoma cells[13-15].
SNHG16 has also been implicated to be involved in resistance to sorafenib, a drug that is widely used for treating hepatocellular carcinoma[16-18], and has been described as a potential biomarker of unfavorable prognosis in a recent meta-analysis of 5 studies[19]. However, we did not find any significant association between tumoral SNHG16 expression and conventional negative prognostic parameters. While this may be partly due to the small number of the patients, it should also be kept in mind that the metaanalysis included only 5 studies. Therefore, the value of SNHG16 as an independent prognostic factor in hepatocellular carcinoma should be further tested.
DLEU2 was up-regulated in tumoral and peritumoral tissues compared to cirrhotic CVH parenchyma samples (15.98 and 10.34 fold). However, the difference in DLEU2 expression between peritumoral and CVH parenchyma samples did not reach statistical significance despite 10.34 fold increase, in contrast to the array step, in which we observed a statistically significant up-regulation in the peritumoral parenchyma compared to CVH parenchyma and the normal liver. DLEU2 has been shown to be up-regulated in HCC tissue and induce the proliferation in hepatocellular carcinoma cells in a recent study, supporting our findings[20]. On the other hand, we did not observe any significant association between DLEU2 expression and clinicopathological features including survival. The only patient who died of the disease had tumoral DLEU2 expression. However, the patient also had vascular invasion and multiple tumor foci, indicating that DLEU2 expression cannot be the sole culprit of death in this patient. In a recent study, Fu et. al[21] have claimed that DLEU2 is upregulated in HCC tissue and its expression is associated with metastatic disease but the authors failed to demonstrate DLEU2 as an independent prognostic factor in multivariate analyses. Of note, Salerno et al.[22] have demonstrated that HBx protein of HBV binds to DLEU2 leading to cancer-related transcription in the host liver. However, we did not find a significant association between DLEU2 expression and HBV positivity in our study group.
Expression of XIST was also increased in both tumor and peritumoral parenchyma samples, albeit without statistical significance (2.10 and 3.60 fold). None of the well-differentiated CVH-HCCs expressed XIST, and tumoral XIST expression was significantly associated with the presence of venous invasion. Although these findings indicate that tumoral XIST expression may negatively affect survival, we did not find any significant difference regarding survival in cases with and without tumoral XIST expression. This may be attributed to the small number of patients. On the other hand, while XIST expression has been reported to be associated with poor prognosis in several cancer types, it has also been claimed to have the potential to act as a tumor suppressor in certain scenarios[23,24], further questioning its prognostic value. Curiously, we found that XIST expression was significantly associated with HCV positivity in the entire study group, in consistence with the previous studies reporting that HCV core protein causes upregulation of miR-92b, which interacts with lncRNA XIST[25-27].
HOTAIR expression has recently been reported to be associated with advanced pT stage tumors, and high-expression level has been found to indicate poorer prognosis without any significant association with age, gender, or tumor size[28]. However, our results challenge this meta-analysis as we observed that CVH-HCC patients with tumoral HOTAIR expression tended to have a longer mean survival and 2 of the 3 cases that did not show tumoral HOTAIR expression had recurrent disease.
Although LINC00662 was expressed in all samples, its expression was higher in the tumor and peritumoral parenchyma than in cirrhotic CVH parenchyma. This finding challenges a previous study that claimed LINC00662 upregulation to be a biomarker of poor prognosis[29]. Naturally, there may be populational differences in expression of LINC00662 in CVH-HCC. However, currently the significance of LINC00662 expression seems to be more of pathogenetic, rather than being a prognostic factor.
There was peritumoral LINC00635 expression in the 3 patients with recurrence. Moreover, although the difference was not statistically significant, CVH-HCC patients with peritumoral LINC00635 expression had shorter mean overall survival. There is only one study on LINC00635 expression in HCC, and in that study, serum LINC00635 expression has been reported to be associated with lymph node metastasis, advanced stage, and worse OS[30]. Naturally, serum levels cannot determine the exact source of LINC00635, i.e., tumor or peritumoral tissue.
The most challenging limitation of this study was RNA extraction from the FFPE tissues, as the destructive effect of formalin on nucleic acids is widely known. Although six samples had to be omitted from statistical analysis of the RT-array step due to poor RNA quality, all samples could successfully be analyzed in assay analysis. Also, using FFPE tissue samples provided the advantage of simultaneous histopathological evaluation.
In conclusion, chronic inflammation causes changes in expression levels of lncRNAs in cirrhotic liver parenchyma. The fact that some of these lncRNAs are also up- or downregulated in CVH-HCC suggests that they may be involved in all stages of hepatocarcinogenesis. Inflammation associated lncRNAs are candidate diagnostic biomarkers in CVH-HCC. However, verification in larger patient groups are needed to evaluate whether they have true prognostic utility.
Acknowledgement
The authors thank Ayse Cayan for their assistance in sample
preparation.
Funding
This study was supported by the Research Fund of the Dokuz Eylul
University. Project Number: 2021.KB.SAG.019.
Conflict of Interest
The authors have no conflicts of interest to declare.
Authorship Contributions
Concept: BP, OS, Design: BP, OS, Data collection or processing:
All authors, Analysis or Interpretation: BP, Literature search: BP,
Writing: All authors, Approval: All authors.
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